# Generated by API Evangelist (build-phrasing.py). Our phrasing, not observed demand.
overlay: 1.0.0
info:
  title: API Evangelist conversational phrasing for Microsoft Azure Anomaly Detector Timeseries API
  version: 1.0.0
extends: openapi/microsoft-azure-time-series-api-openapi.yml
actions:
- target: $.info
  update:
    x-apievangelist-phrasing:
      method: generated
      generated: '2026-10-01'
      generator: build-phrasing.py
      label: Generated by API Evangelist
      operations: 3
- target: $.paths['/timeseries/changepoint/detect'].post
  update:
    x-apievangelist-phrasing:
      intent: Detect change points in a time series
      effect: read
      questions:
      - How do I find where the trend in my time series shifts?
      - Can I tune the stable trend window or threshold for change point detection?
      instructions:
      - text: Detect change points in series {series} at {granularity} granularity.
        slots:
          series: requestBody.series
          granularity: requestBody.granularity
      - text: Score change points in {series} with granularity {granularity} and threshold {threshold}.
        slots:
          series: requestBody.series
          granularity: requestBody.granularity
          threshold: requestBody.threshold
      method: generated
      generated: '2026-10-01'
- target: $.paths['/timeseries/entire/detect'].post
  update:
    x-apievangelist-phrasing:
      intent: Detect anomalies across an entire time series
      effect: read
      questions:
      - Can Anomaly Detector check every point in my series for anomalies in one batch?
      - How does sensitivity affect batch anomaly detection over a whole series?
      instructions:
      - text: Detect anomalies across the whole series {series}.
        slots:
          series: requestBody.series
      - text: Find anomalies in all points of {series} with sensitivity {sensitivity}.
        slots:
          series: requestBody.series
          sensitivity: requestBody.sensitivity
      method: generated
      generated: '2026-10-01'
- target: $.paths['/timeseries/last/detect'].post
  update:
    x-apievangelist-phrasing:
      intent: Check if the latest data point is anomalous
      effect: read
      questions:
      - Is the newest point in my time series an anomaly?
      - Can I use streaming-style detection to check only the last value?
      instructions:
      - text: Check whether the last point of series {series} is anomalous.
        slots:
          series: requestBody.series
      - text: Evaluate the most recent point in {series} at {granularity} granularity.
        slots:
          series: requestBody.series
          granularity: requestBody.granularity
      method: generated
      generated: '2026-10-01'